Cardiothoracic & vascular anesthesia
Predictors of Acute Postoperative Pain in Cancer Patients Undergoing Elective Video‐Assisted Thoracoscopic Surgery
Authors' conclusion
This study suggests that pre- and intra-operative factors contribute to the prediction of postoperative pain intensity and opioid consumption with varying precision.
Study context
- Population
- Patients undergoing elective video-assisted thoracoscopic surgery for confirmed or suspected lung cancer
- Outcome
- Time-weighted postoperative pain and cumulative opioid consumption
- Follow-up
- 48 h
Methodological detailsprediction modelling, backward elimination
- Prediction modelling
- Backward elimination
Main finding
As reported in the abstract
Variance explained by prediction models
Domain-specific models, variance explained
5.1%-12.8%
Demographics model, variance of opioid consumption explained
39.5%
Multifactorial model, variance of pain intensity explained
20.3%
Multifactorial model, variance of opioid consumption explained
40.4%
Observational data: associations, not effects.
Original publication
Predictors of Acute Postoperative Pain in Cancer Patients Undergoing Elective Video‐Assisted Thoracoscopic Surgery. Acta Anaesthesiol Scand. Published 25 February 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →